Revolutionizing Health Management: Developing a Wearable Device for Real-time Heart Rate Measurement and Prediction of Hypertension Risks
Prof. Shweta Kakade1, Yash Pawar2, Aakash Naralkar3, Samarth Chincholkar4, Abhay Rathod5
1Professor at Department of Artificial Intelligence & Data Science, ZEAL College of Engineering & Research, Pune
2345Student at Department of Artificial Intelligence & Data Science, ZEAL College of Engineering & Research, Pune
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Abstract - This research paper introduces SyncFit, a wearable gadget coupled with a web platform for instant heart rate monitoring and hypertension risk forecasting. The gadget employs a Python-based random forest algorithm to scrutinize heart rate data and anticipate abnormal rates signaling hypertension risk. The web platform, constructed with Streamlit and Firebase, grants users access to their heart rate analysis and hypertension risk evaluation. The research showcases SyncFit's capability to transform health management by enabling individuals to proactively monitor their health and predict risks, thereby facilitating optimization of their wellness journey.
SyncFit enhances user experience with a range of features beyond its core functions, ensuring effortless integration into daily routines. Its sleek, ergonomic design prioritizes comfort, enabling seamless wear throughout the day. Additionally, its intuitive interface and user-friendly controls facilitate easy navigation and customization, catering to diverse user preferences. SyncFit's robust construction and advanced tech establish a new benchmark for wearable health monitors, blending style and functionality to empower users in their wellness journey.
SyncFit commits to constant improvement and innovation, with ongoing R&D aimed at expanding capabilities and addressing emerging health challenges. Future versions will integrate more sensors and advanced analytics, offering a deeper understanding of health. Integration with AI and cloud tech will revolutionize personalized health management, making preventive care proactive, empowering individuals to optimize well-being.
Key Words: wearable device, heart rate, hypertension risk, web application, machine learning, artificial intelligence, streamlit.
